Qi Meng
25 papers · 2016–2026 · 8 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (8)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(14)
π§
Keyword Pioneer
π
Grand Slam
π€
Dynamic Duo
(18)
π
Triple Crown
ποΈ
Keyword Collector
(111)
β
The Questioner
(2)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(24)
π₯
Unstoppable
(10)
π
Trend Setter
Conferences
IJCAI (5)
NIPS (5)
ICLR (4)
ICML (4)
ACL (3)
AAAI (2)
NAACL (1)
UAI (1)
Top co-authors
Keywords
neural network
(4)
generalization bound
(3)
large language model
(3)
decision tree
(2)
gradient descent
(2)
neural network optimization
(2)
gradient boosting
(2)
asynchronous stochastic gradient descent
(2)
graph neural network
(2)
knowledge distillation
(1)
semantic analysis
(1)
neural machine translation
(1)
convergence analysis
(1)
distributed learning
(1)
uncertainty quantification
(1)
contrastive learning
(1)
kl divergence
(1)
continuous optimization
(1)
batch normalization
(1)
policy gradient
(1)
Papers
MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
ACL 2026
HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
ICLR 2025
TEACH: A Contrastive Knowledge Adaptive Distillation Framework for Classical Chinese Understanding
ACL 2025
Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs
IJCAI 2025
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
ACL 2024
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations
AAAI 2023
$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling
ICLR 2023
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
ICML 2023
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
ICML 2022
Does Momentum Change the Implicit Regularization on Separable Data?
NIPS 2022
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
ICLR 2022
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
NIPS 2021
Path-BN: Towards effective batch normalization in the Path Space for ReLU networks
UAI 2021
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
ICML 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
NAACL 2021
R-Drop: Regularized Dropout for Neural Networks
NIPS 2021
Reinforcement Learning with Dynamic Boltzmann Softmax Updates
IJCAI 2020
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations
IJCAI 2020
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
ICLR 2019
Capacity Control of ReLU Neural Networks by Basis-Path Norm
AAAI 2019
Differential Equations for Modeling Asynchronous Algorithms
IJCAI 2018
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
NIPS 2017
Asynchronous Stochastic Gradient Descent with Delay Compensation
ICML 2017
Asynchronous Accelerated Stochastic Gradient Descent
IJCAI 2016
A Communication-Efficient Parallel Algorithm for Decision Tree
NIPS 2016